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Build and deploy AI/ML models and NLP solutions to automate business processes and support generative AI projects for clients.
Builds and deploys generative-AI solutions (RAG, prompt engineering, AI guardrails) using LangChain, LangGraph, and PyTorch for enterprise clients in Milan.
Build and deploy AI/ML models, NLP, and generative AI solutions to improve business processes and automate tasks for enterprise clients.
## CYS - Data & Application Engineer - IDGApplylocations: IT - Roma - Via Laurentina: IT - Genova - Fiumaratime type: Full timeposted on: Posted Todayjob requisition id: R0026430**Job Description:***Leonardo SpA è…
Build, train, and deploy ML/DL models; integrate AI into software products; manage data pipelines and monitor production performance.
Builds full-stack web apps for manufacturing R&D, integrating AI/ML services (NLP, generative) with Java, React, and Liferay/OSGi.
Develop and maintain automated tolling systems and enterprise web apps using backend (C#/Python/Java) and frontend (Angular/React/Vue) stacks, integrating AI services like NLP and ML.
Build an AI-powered legal research and document-automation product using Python, TypeScript, React, and cloud-native tools.
Builds Flask web apps and Plotly Dash dashboards for banking analytics, integrates local LLMs and RAG pipelines, and automates risk/compliance workflows.
Build and deploy AI-powered features like NLP models and LLM integrations for SaaS products used by Indonesian businesses.
Analyze current business processes across departments to identify opportunities for AI-based optimization (e.g., Generative AI, Predictive Analytics, NLP, Computer Vision). Collaborate with stakeholders to understand…
Build and maintain a scalable data platform for a fintech company, integrating AI, OCR/NLP, and visualization tools to streamline lending and home ownership processes.
Build a cloud-native data platform for a fintech startup, integrating AI/OCR/NLP to streamline mortgage processes and deliver accurate reports for operations and business teams.
Build ML models for B2C banking: propensity scoring, NLP on client feedback, credit-limit management, and churn prediction, then ship production-ready code via MLOps pipelines.
Develop and optimize AI solutions by training LLMs, processing datasets, and building APIs using Python, SQL, NLP, and cloud platforms like AWS or GCP.
About the Role You’ll work alongside experienced engineers to improve our AI-enabled plan ingestion pipeline—from raw PDFs to clean, dependable outputs that power takeoff, design, and downstream automation. You’ll…
Design, train, and deploy ML/NLP models in cloud pipelines, focusing on scalable MLOps workflows and collaboration with cross-functional teams.
Build and deploy ML models (churn, pricing, fraud) and LLM-based agents for an insurer, using Python, AWS SageMaker, and NLP libraries.
Build and deploy generative AI solutions, agents, and data pipelines to automate business processes and extract insights from unstructured data using Python, cloud platforms, and LLMs.
Analyze commercial insurance data and build pipelines to deliver insights and dashboards that guide business decisions using SQL, Python, and cloud tools like Azure and Databricks.
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